Articles
<![CDATA[Prediksi Tingkat Kunjungan Pasien dengan Menggunakan Metode Monte Carlo ]]>
<![CDATA[Aldo Eko Syaputra]]>;
<![CDATA[Yofhanda Septi Eirlangga]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 2 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i2.202
<![CDATA[The increase in the number of patient visits that often occur at community health centers / puskesmas has caused some activities in health services to be slightly hampered, disturbed and less than optimal, resulting in some patients not getting comprehensive services and some even waiting too long in queues. The purpose of this study was to provide information to the health center about the prediction of an increase in the number of patient visits that might occur in the future. The data used in this study were patient visit data at the IX Koto Sungai Lasi health center from 2019, 2020, and 2021 to extract the data that was obtained. The method used in this study was the Monte Carlo method. The results of the study can predict patient visit rates in the following years with an average accuracy rate of 91%, in 2020, and 85% in 2021, the results of these predictions can be a reference for the Puskesmas to take action and policies to improve quality of service at the Puskesmas.]]>
<![CDATA[Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo ]]>
<![CDATA[Aldo Eko Syaputra]]>;
<![CDATA[Yofhanda Septi Eirlangga]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v5i1.225
<![CDATA[25 Coffee has increased sales every day. This situation causes service to consumers to be disrupted because raw materials often run out. Some consumers do not get good service and some even wait too long but do not get the desired item. This situation will cause consumers to be reduced because they move to another seller's place. So this research is carried out to predict sales in maintaining the availability of raw materials so that services are guaranteed and improved. The method used in this study is Monte Carlo by processing sales data in 2019, 2020, and 2021. The results of this study are able to predict the number of beverage sales in the following years with an average accuracy rate of 91%, in 2020 , and 89% in 2021. So this prediction becomes a reference material for 25 COFFE parties to make decisions and improve services.]]>
<![CDATA[Klasifikasi Penjurusan pada Sekolah Menengah Atas (SMA) dengan Metode Algoritma C4.5 ]]>
<![CDATA[Yofhanda Septi Eirlangga]]>;
<![CDATA[Aldo Eko Syaputra]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 3 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i3.235
<![CDATA[The Indonesian Minister of Education has stipulated 12 years of compulsory education, but only at high school (SMA) students can only determine the major they are interested in. In every new academic year the PPDB (New Student Admissions) committee has difficulty in determining majors because the determination of majors is still done manually so that there is a mismatch with the interests and talents of students caused by human error. So it is necessary to conduct a study with the aim of assisting the PPDB committee in determining the majors accurately and effectively so that the interests and talents of students can be channeled appropriately. Therefore, the C4.5 algorithm method is used which is one of the data mining algorithms that produces a decision tree that is suitable for classifying large amounts of data. The data used in this study were taken from the grade IX student report cards in 2022 as many as 44 report cards which have 11 subject value variables, namely Science, Social Sciences, Indonesian Language, PKN, Islamic Religious Education, MTK, English, BAM Arts and Culture, ICT and Physical Education. The results of this study obtained a decision tree (decision tree) with 17 rules (knowledge) that has been matched with real data with a very high level of accuracy. So that this research can help and become a benchmark for the PPDB committee in determining the majors of new students every time a new teaching begins at SMA Pertiwi 2 Padang]]>
<![CDATA[Model Simulasi untuk Memperkirakan Tingkat Penjualan Garam Menggunakan Metode Monte Carlo ]]>
<![CDATA[Muhammad Thoriq]]>;
<![CDATA[Aldo Eko Syaputra]]>;
<![CDATA[Yofhanda Septi Eirlangga]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 4 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.37034/jidt.v4i4.244
<![CDATA[The increasing need for salt in the West Sumatra area is inversely proportional to the raw material for making salt. So the stock of salt for consumption becomes less. This causes the purchasing power to be cut off for the needs of regional consumers. Based on these problems, a research was conducted by conducting simulations to predict the amount of salt sales in controlling stock. This study aims to predict sales in maintaining service to consumer demand. The method that can be used in making predictions is the Monte Carlo Method by processing Salt sales data in 2019, 2020, and 2021 at PT. Prosperous Grace. The results of the study are able to predict sales of salt in the form of kilograms (kg) in the future. The average accuracy rate in 2020 is 88% and in 2021 is 91%. So that this research can be a reference in decision making by PT. Kurnia Sejahtera to improve services.]]>
<![CDATA[Akumulasi Metode Monte Carlo dalam Memperkirakan Tingkat Penjualan Keripik Sanjai ]]>
<![CDATA[Aldo Eko Syaputra]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (2023) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v5i1.222
<![CDATA[Sanjai chips are one of the typical snacks of West Sumatra which are sold by tek gadih shops, increased sales on certain days and months make employees overwhelmed dealing with buyers, causing buyers to not be served evenly, and increased purchases make available sanjai stocks run low or run out. and resulted in sales being not optimal, therefore it is necessary to conduct a study to predict sales in the future. So that the availability of sanjai chips in the warehouse can be increased so that service is guaranteed and sales are optimal. The method chosen in this research is the Monte Carlo Method by processing data on the number of sales from 2020, 2021, and 2022. The results of this study are that it can predict the number of sales of sanjai chips at Tek Gadi stores in the following year with an average level of accuracy. 83%, in 2022 with an average sales of 1,746, and 91% with an average sales of 1,701 in 2021. So that this research can be used as reference material by sanjai tek gadih in making decisions to increase sales in the future.]]>
<![CDATA[Implementasi Metode SAW dalam Menunjang Pengambilan Keputusan Penerimaan Tenaga Kependidikan Baru ]]>
<![CDATA[Aldo Eko Syaputra]]>
<![CDATA[ E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Vol 12 No 1 (2023): e-Jurnal JUSITI ]]>
Publisher : <![CDATA[Universitas Dipa Makassar ]]>
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DOI: 10.36774/jusiti.v12i1.1280
<![CDATA[Perekrutan tenaga kependidikan yang berkompeten dan sesuai dengan kriteria yang ada adalah salah satu penunjang keberhasilan dari sebuah perguruan tinggi, karna keberhasilan perguruan tinggi tidak hanya ditunjang dari dosen saja tetapi juga dari tentik yang memiliki ilmu pengetahuan dan loyalitas yang tinggi, permasalahan muncul ketika penerimaan tendik baru dilakukan, karna banyaknya pelamar dan kriteria yang harus terpenuhi ditambah lagi tidak adanya metode sistematis yang digunakan membuat penilaian kurang efektif dan akurat, sehingga dibutuhkan sebuah metode sistematis yang terkomputerisasi untuk menunjang tim penilai dalam melakukan penilaian dan membuat sebuah keputusan, metode yang digunakan dalam penelitian ini adalah metode Simple Additive Weighting, metode ini dikenal dengan metode penjumlahan terbobot yang membuat perengkingan dari semua alternatif dan atribut yang tersedia. Hasil dari penelitian ini adalah terbentuknya perengkingan dari nilai tertinggi yaitu 15,6 oleh alternatif ke-7 ke terendah oleh alternatif ke-2 dengan nilai 8,7 sehingga memudahkan tim penilaian dalam pengambilan sebuah keputusan dalam penerimaan tenaga kependidikan yang sesuai dengan kriteria yang telah ditetapkan oleh pihak perguruan tinggi.]]>
<![CDATA[Akumulasi Metode Monte Carlo dalam Memperkirakan Tingkat Penjualan Keripik Sanjai ]]>
<![CDATA[Aldo Eko Syaputra]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (2023) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v5i1.222
<![CDATA[Sanjai chips are one of the typical snacks of West Sumatra which are sold by tek gadih shops, increased sales on certain days and months make employees overwhelmed dealing with buyers, causing buyers to not be served evenly, and increased purchases make available sanjai stocks run low or run out. and resulted in sales being not optimal, therefore it is necessary to conduct a study to predict sales in the future. So that the availability of sanjai chips in the warehouse can be increased so that service is guaranteed and sales are optimal. The method chosen in this research is the Monte Carlo Method by processing data on the number of sales from 2020, 2021, and 2022. The results of this study are that it can predict the number of sales of sanjai chips at Tek Gadi stores in the following year with an average level of accuracy. 83%, in 2022 with an average sales of 1,746, and 91% with an average sales of 1,701 in 2021. So that this research can be used as reference material by sanjai tek gadih in making decisions to increase sales in the future.]]>
<![CDATA[Sistem Pakar Diagnosa Gaya Belajar Mahasiswa Menggunakan Metode Forward Chaining ]]>
<![CDATA[Sopi Sapriadi]]>;
<![CDATA[Aldo Eko Syaputra]]>;
<![CDATA[Yofhanda Septi Eirlangga]]>;
<![CDATA[Kiki Hariani Manurung]]>;
<![CDATA[Nova Hayati]]>
<![CDATA[ Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 3 ]]>
Publisher : <![CDATA[SEULANGA SYSTEM PUBLISHER ]]>
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DOI: 10.60083/jidt.v5i3.381
<![CDATA[Sistem pakar merupakan bagian dari pemanfaatan teknologi sehingga menjadi salah satu upaya dalam mendukung berbagai aktivitas manusia. Salah satu cara di mana sistem pakar dimanfaatkan adalah dlam konteks pendidikan. Gaya belajar adalah kecendrungan individu untuk menambil pendekatan khusus dalam proses pembelajarannya, dengan tujuan memastikan bahwa mereka bertanggung jawab dlam menemukan metode belajar yang cocok baik untuk lingkungan perkuliahan maupun materi kuliah yang harus dipelajari. Terdiri dari tia tipe gaya belajar, yakni visual, auditori, dan kinestetik. Walaupun tiap individu dapat mengunakan ketiga modalitas ini tergantung paa situasi, tetap terdapat kecendrungan yang lebih dominan pada salah satu diantaranya. Sehingga dosen harus membuat pembelajaran seefektif mungkin untuk meningkatkan pembelajaran yang seefesien mungkin. Penelitian ini bertujuan untuk melihat kemampuan mahasiswa dalam pemahaman gaya belajar dan pemahaman mahasiswa dalam proses belajar. Oleh karena itu, penelitian ini juga dapat berkontribusi dalam membatu Universitas Adzkia dalam mengambil keputusan yang sesuai untuk meningkatkan mutu pembelajaran di masa mendatang. . Untuk mengatasi sejumlah tantangan yang telah dijelaskan di atas, diperlukan penerapan sistem pakar yang mampu mengambil keputusan sebagaimana yang dilakukan oleh para ahli. Dalam konteks sistem pakar ini yang digunakan adalah metode forward chaining. Metode ini melibatkan pelacakan ke depan, dimulai dari fakta-fakta yang ada hingga mencapai kesimpulan. Dengan pendekatan ini, tujuan akurasi dapat dicapai. Hasil dari hal ini adalah dapat mendeteksi gaya belajar dengan tingkat kesamaan dikategorikan 90%.]]>
<![CDATA[SISTEM PENUNJANG DALAM PENGAMBILAN KEPUTUSAN PEMBERIAN REWARD DOSEN TERBAIK MENGGUNAKAN METODE TOPSIS ]]>
<![CDATA[Nova Hayati]]>;
<![CDATA[Aldo Eko Syaputra]]>;
<![CDATA[Yofhanda Septi Eirlangga]]>
<![CDATA[ J-Icon : Jurnal Komputer dan Informatika Vol 11 No 2 (2023): Oktober 2023 ]]>
Publisher : <![CDATA[Universitas Nusa Cendana ]]>
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DOI: 10.35508/jicon.v11i2.12390
<![CDATA[Lecturers are professional teaching staff who provide all their knowledge and loyalty through teaching students, research and community service. To increase the performance and loyalty of lecturers to tertiary institutions, this is done by giving rewards to the best lecturers. In making the decision to give rewards to lecturers, there are several steps and criteria that must be met, because the large number of lecturers and criteria causes the assessment team to experience difficulties in processing the criteria data and lecturer data who are entitled to the reward, so a method is needed that is implemented into a computerized system that will facilitate the work of the assessment team in data processing and the resulting data to be accurate and reliable. The data applied in this research is data from permanent university lecturers and the conditions set by the university. The purpose of this research is to maximize the performance of the assessment team in processing criteria data and university permanent lecturers to get the best lecturers who are entitled to receive rewards using the TOPSIS method. The decision in determining the alternative to giving rewards to the best lecturers, by selecting 3 lecturers as recipients of the best lecturer rewards as an alternative is the result of this study. From these results, there are influential criteria, namely Research, Teaching, and Attendance.]]>
<![CDATA[Prediksi Peningkatan Kunjungan Pasien Dimasa Mendatang Mengunakan Jaringan Saraf Tiruan Backpropagation ]]>
<![CDATA[Muhammad Thoriq]]>;
<![CDATA[Aldo Eko Syaputra]]>;
<![CDATA[Yofhanda Septi Eirlangga]]>
<![CDATA[ JURNAL FASILKOM Vol 14 No 1 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) ]]>
Publisher : <![CDATA[Unversitas Muhammadiyah Riau ]]>
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DOI: 10.37859/jf.v14i1.6068
<![CDATA[Sebagai lembaga kesehatan pertama pada suatu wilayah dalam memberikan pelayanan kesehatan jumlah kunjungan pasien tidak bisa kita prediksi kedatangannya dan pada waktu-waktu tertentu jumlah pasien membludak sehingga menjadi tidak sesuai dengan tenaga kesehatan (nakes) yang sedang bertugas. Karena banyak pasien yang datang dan tidak sesuai dengan nakes yang sedang bekerja menyebabkan banyaknya pasien yang mengantri bahkan sampai tidak bisa dilayani dan dianjurkan untuk pemeriksaan besok harinya. Inilah yang menyebabkan pelayanan kesehatan menjadi kurang optimal serta beberapa aspek dari puskesmas tidak berjalan dengan sempurna. Berdasarkan masalah tersebut diatas, perlu dilakukannya sebuah penelitian yang komprehensif guna memperkirarkan jumlah kedatagan pasien dimasa yang akan datang. metode jaringan saraf tiruan (JST) bakcpropagation akan dipakai dalam membantu penelitian ini. Penggunaan metode ini dengan mempertimbangkan bahwa Jaringan Syaraf Tiruan mempunyai kemampuan belajar dari pola-pola yang di masukan di ajarkan dan melakukan komputasi dengan paralel. Data yang dipakai meneliti adalah data kunjungan-kunjungan pasien pada tahun lampau yang akan dijadikan data training. Tujuan dari penelitian ini mengharapkan JST menggunakan Backpropagation dapat memperkirakan keberhasailan latihan kerja secara akurat. Hasil dari penelitian ini adalah Setelah dilakukan tahapan propagasi balik. Hasil prediksi yang optimal diperoleh sebesar 0.98946, mendekati nilai target (1). Terdapat kemungkinan kesalahan sebesar 0.00011 atau 0.01% yang terjadi.]]>
